Network Dimensionality Assessment
Network Dimensionality Assessment is a methodological framework within dimensionality assessment that specifically quantifies the effective dimensionality of complex systems by modeling their structural and functional interactions as a network.
61
Publications
2.4K
Citations
164
Authors
114
Institutions
Publications per year
2017–2026
28
Parents
61
Intrinsic dimension of data representations in deep neural networks
Alessio Ansuini, Alessandro Laio, Jakob H. Macke et al. · arXiv (Cornell University) · 2019 · 129 citations · Full text
VC dimension of neural networks
Eduardo D. Sontag · 1998 · 123 citations
1–5 of 61
164
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University of North Carolina at Greensboro, United States
4 publications · 83 citations
4
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Pontificia Universidad Católica Madre y Maestra, Dominican Republic
3 publications · 71 citations
3
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3
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2
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1–5 of 164
114

Vanderbilt University
Nashville, United States
4 h-index
4 publications
122 citations

Cornell University
Ithaca, United States
3 h-index
5 publications
139 citations
Stanford University
Stanford, United States
3 h-index
4 publications
332 citations

Pontificia Universidad Católica Madre y Maestra
Santiago, Dominican Republic
3 h-index
3 publications
71 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
186 citations
AT&T (United States)
Bedminster, United States
3 h-index
3 publications
50 citations

Instituto Politécnico Nacional
Mexico City, Mexico
2 h-index
4 publications
180 citations

Scuola Internazionale Superiore di Studi Avanzati
Trieste, Italy
2 h-index
4 publications
334 citations
1–8 of 114
Repository · 4 publications · 246 citations
4
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3 publications · 100 citations
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3 publications · 156 citations
3
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2 publications · 56 citations
2
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2 publications · 53 citations
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